LlamaIndex
LlamaIndex is the leading data framework for building LLM agents
🛡️ AgentReady threat assessment
MAESTRO 7-layer threat model + OWASP AIVSS risk score for LlamaIndex, derived from its capabilities.
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology — every score is re-derived by the same automated method as an agent's public evidence changes.
Overview
LlamaIndex is a flexible data framework designed to connect custom data sources to large language models (LLMs). It simplifies the process of building, iterating, and deploying multi-agent AI systems, enabling autonomous task execution over various data types. LlamaIndex supports both read and write functions, allowing dynamic data ingestion and modification through a reasoning loop and tool abstractions.
Key features and capabilities
- Distributed service-oriented architecture,
- Standardized API interfaces,
- Agentic and explicit orchestration flows,
- Ease of deployment,
- Scalability and resource management
Use cases
- Complex question-answering systems,
- Collaborative AI assistants,
- Distributed AI workflows,
- Context-augmented applications,
- Document understanding and extraction